TL;DR

Lead AI Engineer (AI Engineering): Lead the development and maintenance of AI-driven internal systems including Retrieval-Augmented Generation (RAG) pipelines, AI automation, and agent orchestration frameworks. Focus on designing scalable, robust AI workflows, integrating LLMs, vector databases, and automation to enhance organizational efficiency and innovation.

Location: Madrid, Spain (onsite)

Company

%hirify_global% powers financial and operational planning solutions for leading global brands, enabling data-driven decision-making through advanced analytics and AI.

What you will do

Design, build, and maintain AI-driven internal systems including RAG pipelines and automation frameworks.
Collaborate with cross-functional teams to identify and implement AI integration opportunities.
Evaluate and recommend technology stacks and frameworks aligned with strategic goals.
Develop and manage end-to-end AI workflows from data ingestion to deployment and monitoring.
Ensure scalability, robustness, and maintainability of AI projects by establishing standards and best practices.
Provide technical mentorship and foster a culture of innovation and responsible AI adoption.

Requirements

Must have 5+ years experience in software architecture and engineering focused on LLM-based AI systems.
Proven ability to design and implement RAG architectures with vector databases and language models.
Strong understanding of prompt engineering and AI workflow orchestration frameworks.
System integration skills, experience with Azure is a plus.
Fluency in English is required.
Strong analytical, problem-solving, and communication skills.

Culture & Benefits

Commitment to diversity, inclusion, and belonging.
Collaborative and growth-oriented work environment.
Focus on innovation and shared success.